{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:KBI74I4OHGJ5WGTT7FAFBCDECH","short_pith_number":"pith:KBI74I4O","canonical_record":{"source":{"id":"2007.16102","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-31T14:28:33Z","cross_cats_sorted":[],"title_canon_sha256":"41e4a78f8d0365f699c00a44a0ab40dd98e5d63ff18dc4a5d0a10757e107b0d8","abstract_canon_sha256":"b1aec4245d5ca90450c4361d157d8553ee8ada3e3ea66dad5eb7e2a7eaa177c3"},"schema_version":"1.0"},"canonical_sha256":"5051fe238e3993db1a73f94050886411dee2c49b1a016ebda37ad9590daed72a","source":{"kind":"arxiv","id":"2007.16102","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.16102","created_at":"2026-07-05T03:30:06Z"},{"alias_kind":"arxiv_version","alias_value":"2007.16102v2","created_at":"2026-07-05T03:30:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.16102","created_at":"2026-07-05T03:30:06Z"},{"alias_kind":"pith_short_12","alias_value":"KBI74I4OHGJ5","created_at":"2026-07-05T03:30:06Z"},{"alias_kind":"pith_short_16","alias_value":"KBI74I4OHGJ5WGTT","created_at":"2026-07-05T03:30:06Z"},{"alias_kind":"pith_short_8","alias_value":"KBI74I4O","created_at":"2026-07-05T03:30:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:KBI74I4OHGJ5WGTT7FAFBCDECH","target":"record","payload":{"canonical_record":{"source":{"id":"2007.16102","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-31T14:28:33Z","cross_cats_sorted":[],"title_canon_sha256":"41e4a78f8d0365f699c00a44a0ab40dd98e5d63ff18dc4a5d0a10757e107b0d8","abstract_canon_sha256":"b1aec4245d5ca90450c4361d157d8553ee8ada3e3ea66dad5eb7e2a7eaa177c3"},"schema_version":"1.0"},"canonical_sha256":"5051fe238e3993db1a73f94050886411dee2c49b1a016ebda37ad9590daed72a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:30:06.657285Z","signature_b64":"9Cdfe2g5z02VPlJvQQ3+fI9cI1KeQjmmRn5At4hBXarkXS2QDGLEZROQLNasiIbtn9uUX3mIfaXVfQg2zAe1Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5051fe238e3993db1a73f94050886411dee2c49b1a016ebda37ad9590daed72a","last_reissued_at":"2026-07-05T03:30:06.656390Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:30:06.656390Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.16102","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:30:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1NiYZINY08a23zXUR5FaAd7obeiFDSpaDzvT4fU7y0p47FqvD+KlQg44caO40zgo8/UejAOqCAGjhpy4/H1eBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T14:51:30.430954Z"},"content_sha256":"9950d7dff3b4fce10c740d66ed562805ea3a7ad972f880b7b5aa868dd5f9c8b2","schema_version":"1.0","event_id":"sha256:9950d7dff3b4fce10c740d66ed562805ea3a7ad972f880b7b5aa868dd5f9c8b2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:KBI74I4OHGJ5WGTT7FAFBCDECH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amelia Jim\\'enez-S\\'anchez, Chlodwig Kirchhoff, Diana Mateus, Gemma Piella, Miguel A. Gonz\\'alez Ballester, Nassir Navab, Peter Biberthaler, Sonja Kirchhoff","submitted_at":"2020-07-31T14:28:33Z","abstract_excerpt":"An adequate classification of proximal femur fractures from X-ray images is crucial for the treatment choice and the patients' clinical outcome. We rely on the commonly used AO system, which describes a hierarchical knowledge tree classifying the images into types and subtypes according to the fracture's location and complexity. In this paper, we propose a method for the automatic classification of proximal femur fractures into 3 and 7 AO classes based on a Convolutional Neural Network (CNN). As it is known, CNNs need large and representative datasets with reliable labels, which are hard to co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.16102","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2007.16102/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:30:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MhF0H81ScIxAhnfrnIzkfA5CNFB02qTI6PVeQVjUZ/YpJO1PmGHBn3pUZbMaARRoZDCYt6lFxGKaIJ1WcdvuAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T14:51:30.431741Z"},"content_sha256":"e360486fbaaf7bb093b8b47e391dce12a82181a1b4f6a9417ac9d4146230c136","schema_version":"1.0","event_id":"sha256:e360486fbaaf7bb093b8b47e391dce12a82181a1b4f6a9417ac9d4146230c136"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KBI74I4OHGJ5WGTT7FAFBCDECH/bundle.json","state_url":"https://pith.science/pith/KBI74I4OHGJ5WGTT7FAFBCDECH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KBI74I4OHGJ5WGTT7FAFBCDECH/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-04T14:51:30Z","links":{"resolver":"https://pith.science/pith/KBI74I4OHGJ5WGTT7FAFBCDECH","bundle":"https://pith.science/pith/KBI74I4OHGJ5WGTT7FAFBCDECH/bundle.json","state":"https://pith.science/pith/KBI74I4OHGJ5WGTT7FAFBCDECH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KBI74I4OHGJ5WGTT7FAFBCDECH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:KBI74I4OHGJ5WGTT7FAFBCDECH","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b1aec4245d5ca90450c4361d157d8553ee8ada3e3ea66dad5eb7e2a7eaa177c3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-31T14:28:33Z","title_canon_sha256":"41e4a78f8d0365f699c00a44a0ab40dd98e5d63ff18dc4a5d0a10757e107b0d8"},"schema_version":"1.0","source":{"id":"2007.16102","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.16102","created_at":"2026-07-05T03:30:06Z"},{"alias_kind":"arxiv_version","alias_value":"2007.16102v2","created_at":"2026-07-05T03:30:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.16102","created_at":"2026-07-05T03:30:06Z"},{"alias_kind":"pith_short_12","alias_value":"KBI74I4OHGJ5","created_at":"2026-07-05T03:30:06Z"},{"alias_kind":"pith_short_16","alias_value":"KBI74I4OHGJ5WGTT","created_at":"2026-07-05T03:30:06Z"},{"alias_kind":"pith_short_8","alias_value":"KBI74I4O","created_at":"2026-07-05T03:30:06Z"}],"graph_snapshots":[{"event_id":"sha256:e360486fbaaf7bb093b8b47e391dce12a82181a1b4f6a9417ac9d4146230c136","target":"graph","created_at":"2026-07-05T03:30:06Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2007.16102/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"An adequate classification of proximal femur fractures from X-ray images is crucial for the treatment choice and the patients' clinical outcome. We rely on the commonly used AO system, which describes a hierarchical knowledge tree classifying the images into types and subtypes according to the fracture's location and complexity. In this paper, we propose a method for the automatic classification of proximal femur fractures into 3 and 7 AO classes based on a Convolutional Neural Network (CNN). As it is known, CNNs need large and representative datasets with reliable labels, which are hard to co","authors_text":"Amelia Jim\\'enez-S\\'anchez, Chlodwig Kirchhoff, Diana Mateus, Gemma Piella, Miguel A. Gonz\\'alez Ballester, Nassir Navab, Peter Biberthaler, Sonja Kirchhoff","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-31T14:28:33Z","title":"Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.16102","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:9950d7dff3b4fce10c740d66ed562805ea3a7ad972f880b7b5aa868dd5f9c8b2","target":"record","created_at":"2026-07-05T03:30:06Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b1aec4245d5ca90450c4361d157d8553ee8ada3e3ea66dad5eb7e2a7eaa177c3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-31T14:28:33Z","title_canon_sha256":"41e4a78f8d0365f699c00a44a0ab40dd98e5d63ff18dc4a5d0a10757e107b0d8"},"schema_version":"1.0","source":{"id":"2007.16102","kind":"arxiv","version":2}},"canonical_sha256":"5051fe238e3993db1a73f94050886411dee2c49b1a016ebda37ad9590daed72a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5051fe238e3993db1a73f94050886411dee2c49b1a016ebda37ad9590daed72a","first_computed_at":"2026-07-05T03:30:06.656390Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:30:06.656390Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9Cdfe2g5z02VPlJvQQ3+fI9cI1KeQjmmRn5At4hBXarkXS2QDGLEZROQLNasiIbtn9uUX3mIfaXVfQg2zAe1Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:30:06.657285Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.16102","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9950d7dff3b4fce10c740d66ed562805ea3a7ad972f880b7b5aa868dd5f9c8b2","sha256:e360486fbaaf7bb093b8b47e391dce12a82181a1b4f6a9417ac9d4146230c136"],"state_sha256":"c91d35833588569e224593ddeb03d02de8fc06aa1139e3afd2aff03365754997"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kA3oI1sDY8++IHHmS2UB2wXmoKznsoKMLzM5IDsUK60sinyMSvaJZPN5MrS+ZfpsEeO+lnF7HhIhWzxvd8yeBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T14:51:30.453830Z","bundle_sha256":"e5e9c75d1968975e74c1f1203f2daf5cfb2299e3a840bd1d5effb3de506bbd3b"}}